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distributionloss

Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"

dnn-quant-ocs

DNN quantization with outlier channel splitting

domain-adaptive-faster-rcnn-pytorch

Domain Adaptive Faster R-CNN in PyTorch

domainintersectiondifference

Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)

dsq

pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"

dta.pytorch

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

dupsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

dynamic-reparameterization

dynamicsparsetraining

The code for ICLR2020 submission

e2train

[NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy

edgenets

This repository contains the source code of our work on designing efficient CNNs for computer vision

efficientdnns

Collection of recent methods on DNN compression and acceleration

egnet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

embedded-neural-network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

facedetection-dsfd

fast_seg

This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

fat-fast-adjustable-threshold

This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)

fcos

FCOS: Fully Convolutional One-Stage Object Detection

feature_intertwiner

Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019

fewshot-face-translation-gan

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

fine-grained-classification

Tensorflow Implementation of Fine-grained Classification

fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

flower-classification

Flower Classification with TPUs

fna

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020)

fnnp

Code released for "Pruning Neural Network Using Fast Performance Prediction"

fpga-implementation-aware-neural-architecture-search

frskd

Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)

fullnet-varce

Pytorch implementation of FullNet-varCE

funit

Translate images to unseen domains in the test time with few example images.