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Shubham Pachori's Projects

sec icon sec

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

secnn icon secnn

SeCNN: A Semantic CNN Parser for Code Comment Generation

seda-ml-summarization icon seda-ml-summarization

Here we explore and build an unsupervised deep belief network with the goal of becoming a commercially viable extractive text summarization tool.

sednn icon sednn

deep learning based speech enhancement using keras python, make it easy to use

see icon see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

seenet icon seenet

The Tensorflow implementation of SEENet (BMVC2019)

seg-with-spn icon seg-with-spn

Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge

seg_every_thing icon seg_every_thing

Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

seg_unravel icon seg_unravel

Code Related to "Per-Pixel Feedback for improving Semantic Segmentation", My dissertation submission.

segan icon segan

Speech Enhancement Generative Adversarial Network in TensorFlow

segaware icon segaware

Segmentation-Aware Convolutional Networks Using Local Attention Masks

seglink icon seglink

Detecting text by linking segments.

seglir icon seglir

Javascript library for rapid A/B-testing with Sequential Generalized Likelihood Ratio tests

segmentation icon segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

segmpred icon segmpred

Predicting Deeper into the Future of Semantic Segmentation

seism icon seism

Supervised Evaluation of Image Segmentation Methods

selectiongan icon selectiongan

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation (CVPR 2019 Oral)

selectivenet icon selectivenet

code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"

self-attentive-emb-tf icon self-attentive-emb-tf

Simple Tensorflow Implementation of "A Structured Self-attentive Sentence Embedding" (ICLR 2017)

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