Topic: fine-grained-classification Goto Github
Some thing interesting about fine-grained-classification
Some thing interesting about fine-grained-classification
fine-grained-classification,6th Place Solution to iNat Challenge 2021: 10,000 Species Recognition Challenge with iNaturalist Data
User: alcunha
fine-grained-classification,Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)
User: aniket03
fine-grained-classification,Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
User: ankitdhall
Home Page: https://ankitdhall.github.io/project/learning-representations-for-images-with-hierarchical-labels/
fine-grained-classification,CricShot10 is a video action recognition dataset consisting of 10 cricket batting shots. This dataset was developed using the videos from YouTube.
User: ascuet
fine-grained-classification,SoccerAct10 is a dataset which contains 10 different soccer actions. This dataset was developed using the videos from YouTube.
User: ascuet
fine-grained-classification,Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
User: brightmart
fine-grained-classification,Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别,车辆再识别,车辆匹配,车辆检索,RepNet/MDNet的一种PyTorch实现
User: captaineven
fine-grained-classification,PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
User: chaomaer
fine-grained-classification,A generic triplet data loader for image classification problems,and a triplet loss net demo.
User: chencodex
fine-grained-classification,[TCSVT23, Highly Cited Paper] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
User: cser-tang-hao
fine-grained-classification,Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Organization: cvjena
fine-grained-classification,Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
Organization: cvjena
fine-grained-classification,[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification
User: cwangrun
fine-grained-classification,Bilinear CNNs in PyTorch
User: dasguptar
fine-grained-classification,A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”
User: dqshuai
fine-grained-classification,1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base
User: ezra-yu
fine-grained-classification,Vehicle Make and Model Recognition Dataset (VMMRdb)
User: faezetta
fine-grained-classification,[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
User: iamhankai
Home Page: https://arxiv.org/abs/1901.00392
fine-grained-classification,This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.
Organization: imageomics
fine-grained-classification,A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
User: kingjamessong
Home Page: https://arxiv.org/abs/2105.02498
fine-grained-classification,Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
User: leesb7426
fine-grained-classification,ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
User: m-nauta
fine-grained-classification,Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection - Paper Implementation and Supplementary Materials
User: mahdi-darvish
Home Page: https://arxiv.org/abs/2109.00891
fine-grained-classification,[BMVC 2021] The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
User: markin-wang
fine-grained-classification,[Pattern Recognition] Mix-ViT: Mixing Attentive Vision Transformer for Ultra-Fine-Grained Visual Categorization.
User: markin-wang
fine-grained-classification,MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
User: mrchenfeng
fine-grained-classification,A PyTorch implementation of "BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping"
Organization: mvrl
Home Page: https://sites.wustl.edu/srikumarsastry/birdsat/
fine-grained-classification,ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
User: nandan91
fine-grained-classification,Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
Organization: nlpathits
fine-grained-classification,Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
User: paritoshparmar
fine-grained-classification,What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
User: paritoshparmar
Home Page: https://arxiv.org/abs/1904.04346
fine-grained-classification,Code release for Your “An Erudite Fine-Grained Visual Classification Model (CVPR 2023)"
Organization: pris-cv
fine-grained-classification,Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
Organization: pris-cv
fine-grained-classification,FGVCLib is an open-source and well documented library for Fine-grained Visual Classification.
Organization: pris-cv
fine-grained-classification,Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
Organization: pris-cv
fine-grained-classification,Progressive Co-Attention Network for Fine-Grained Visual Classification
Organization: pris-cv
fine-grained-classification,Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
Organization: pris-cv
fine-grained-classification,Dogs classification with Deep Metric Learning
User: quocthangnguyen
fine-grained-classification,Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
User: richardaecn
fine-grained-classification,Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
User: richardaecn
fine-grained-classification,Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification
User: rush2406
Home Page: https://arxiv.org/abs/2107.13973
fine-grained-classification,This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
User: songdejia
fine-grained-classification,[CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Organization: vita-group
fine-grained-classification,The official implementation of P^2Net (Push-and-Pull Network) for fine-grained ship classification in remote sensing images
User: windvchen
fine-grained-classification,PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
User: wvinzh
fine-grained-classification,This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
User: yangze0930
fine-grained-classification,This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
User: zf4444
fine-grained-classification,The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
User: zhangchbin
Home Page: https://arxiv.org/abs/2011.12562
fine-grained-classification,[WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
User: zjysteven
fine-grained-classification,Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
User: zxhuang1698
Home Page: https://www.biostat.wisc.edu/~yli/cvpr2020-interp/
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