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tph-yolov5

tpn

[CVPR 2020] Temporal Pyramid Network for Action Recognition

tpt-for-videoqa

track2_aicity_2021

This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges

trackit

Source code of Object-aware Anchor-Free Tracking

traffic_violation_detection_yolov4_deep-sort

Real-time Speed violation detection using Yolo and Deep-Sort

train-crf-rnn

Train CRF-RNN for Semantic Image Segmentation using Python

training-vision-transformers-with-only-2040-images

trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

tramas-weak-shot-object-detection

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

trans-svsr

Pytorch implementation for "A Transformer-based Model and a New Dataset for Stereoscopic Video Super-Resolution "

trans2seg

transbts

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf).

transcenter

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

transcrowd

TransCrowd: Weakly-Supervised Crowd Counting with Transformer

transda

This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"

transdepth

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction

transductive-vos.pytorch

a transductive approach for video object segmentation

transfiner

Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022

transformer-in-computer-vision

A paper list of some recent Transformer-based CV works.

transformer-ls

Official implementation of Long-Short Transformer in PyTorch.

transformer-mm-explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

transformer-ssl

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

transformer_str

PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.

transformers-tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

transformers-vqa

An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER

transfuser

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

transg

[CVPR-2023] Official Codes for "TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification"

translate-to-recognize-networks

CVPR 2019 Translate-to-Recognize Networks for RGB-D Scene Recognition

transmomo.pytorch

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".