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tensorflow-class-activation-mapping

热力图--注意力可视化--Learning Deep Features for Discriminative Localization (2016)

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tf_featureextraction

Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim

that

Code for AAAI paper "Two-Stream Convolution Augmented Transformer for Human Activity Recognition"

tiled-squeeze-and-excitation

Pytorch implementation of TSE attention

token

Official implementation of the AAAI 2022 paper "Learning Token-based Representation for Image Retrieval"

tokenfusion

[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"

top-down-spatial-attention-loss

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features

tpt-for-videoqa

tpu

Reference models and tools for Cloud TPUs.

train_cnn-rnn-attention

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....

transcam

transfg

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

transformer-in-transformer

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

transformer-mm-explainability

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_image_caption

Image Captioning based on Bottom-Up and Top-Down Attention model

transgan

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

transgmc

[TMM 2023] TransGMC: Gated Multi-Scale Transformer for Temporal Action Localization

transreid

[ICCV-2021] TransReID: Transformer-based Object Re-Identification

transt

Transformer Tracking (CVPR2021)

transzero

Codes for the AAAI'22 paper "TransZero: Attribute-guided Transformer for Zero-Shot Learning"

transzero_pp

trar-vqa

This is the official pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering" on VQA Task

tresnet

TResNet: High Performance GPU-Dedicated Architecture

triplet-attention

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module."

ts-cam

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

tvnet

twins

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

u-net

U-Net: Convolutional Networks for Biomedical Image Segmentation