ASMIftekhar

VSGNet

VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.

COPY_PASTE-FORGERY-DETECTION

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

awesome-tips

Awesome-Video-Datasets

Video datasets

Bongard-HOI

[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning

CCL

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

CLUB

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

DeepCEP_DAIS

Implementation of DeepCEP for DAIS paper

Diag-HOI

ELR

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

gtad

The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection

HAKE-Action-Torch

HAKE-Action in PyTorch

HOI-Learning-List

A list of the Human-Object Interaction Learning studies.

large_vocabulary_hoi_detection

Code for ICCV2021: Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-Scale Detection

MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection

MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection

PlotNeuralNet

Latex code for making neural networks diagrams

polyloss-pytorch

Implementing PolyLoss in Pytorch

pytorch-estimate-flops

Estimate/count FLOPS for a given neural network using pytorch

qpic

Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"

spatio-attentive-graphs

Official PyTorch implementation for our paper "Spatio-attentive Graphs for Human-Object Interaction Detection"

Squeeze-and-Recursion-Temporal-Gates

Code for : [Pattern Recognit. Lett. 2020] "Learn to cycle: Time-consistent feature discovery for action recognition" and [arXiv] "Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos".

StressNet-Detecting-stress-from-thermal-videos

StressNet: Detecting Stress in Thermal Videos

suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

trackformer

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

TSP

TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks

Video-Action-Transformer-Network-Pytorch-

Implementation of the paper Video Action Transformer Network

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch