Swall0w

torchstat

Model analyzer in PyTorch

dtrocr

cougar

PyTorch deep learning Vision library for fast prototyping

SparseR-CNN

End-to-End Object Detection with Learnable Proposal, CVPR2021

Swall0w

tide

A General Toolbox for Identifying Object Detection Errors

yabumi

alpaca_ja

alpacaデータセットを日本語化したものです

CMaskTrack-RCNN

Code for CMaskTrack R-CNN (proposed in Occluded Video Instance Segmentation)

ConformerViT

ViT + Conformer = ( ͡❛ ͜ʖ ͡❛)👌

cycle-diffusion

Code for "Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance"

deep-text-recognition-benchmark

PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

DPText-DETR

[AAAI 2023 Oral] DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer

FastChat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

IFC

Video Instance Segmentation using Inter-Frame Communication Transformers (NeurIPS 2021)

norfair

Lightweight Python library for adding real-time object tracking to any detector.

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

SEED

SeqFormer

SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation

SLTnet

Spatio-temporal object detector

SRFormer-Text-Det

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

Swall0w.github.io

TeViT

Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022 Oral

TextZoom

A super-resolution dataset of paired LR-HR scene text images

TransVTSpotter

A new video text spotting framework with Transformer

unilm

UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities

vit-pytorch

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