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transfuser

[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

transgan

[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

treemultiset

基于TreeMap实现的支持可重复元素的TreeSet，易用、稳定、可靠

ts-cam

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

tsformer

Reproduce PyTorch implementation of the paper "Two-Stream Transformer for Multi-Label Image Classification" ACM MM 2022

twins

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

uacanet

Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation

uctransnet

unsupervised-classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

vac

Visual Attention Consistency under Image Transforms for Multi-Label Image Classification

vibe

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

vilt

Code for the ICML 2021 paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

visevent_sot_benchmark

The first large-scale tracking dataset by fusing RGB and Event cameras.

vision

Datasets, Transforms and Models specific to Computer Vision

vision_transformer

visual_attention_consistency

Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification

visualization

a collection of visualization function

vit-pytorch

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

vqa_regat

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"

vscode-rainbow-fart

这是一个在你编程时疯狂称赞你的 VSCode 扩展插件

weakly-supervised-object-localization

Weakly Supervised Object Localization Papers

wildcat.pytorch

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

word-embeddings-benchmarks

Package for evaluating word embeddings

ygomaster

Offline Yu-Gi-Oh! Master Duel

zhouyi

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

zs_sdl

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(2021) paper