soyunchoi

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

mamba

Mamba SSM architecture

LibMTL

A PyTorch Library for Multi-Task Learning

VideoMamba

[ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding

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.

PointTransformerV3

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

MultiMAE

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

Awesome-Parameter-Efficient-Transfer-Learning

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

DINOv

[CVPR 2024] Official implementation of the paper "Visual In-context Learning"

AdaptFormer

[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

oneformer3d

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

ZipIt

A framework for merging models solving different tasks with different initializations into one multi-task model without any additional training

awesome-adapter-resources

Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning

deep-learning-from-scratch-3

『밑바닥부터 시작하는 딥러닝 ❸』(한빛미디어, 2020)

DELIVER

Repository of DELIVER dataset and CMNeXt models (CVPR 2023)

sdxl-koala

[NeurIPS 2024] Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis

SegCLIP

PyTorch implementation of ICML 2023 paper "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation"

OV_PARTS

[NeurIPS 2023] OV-PARTS: Towards Open-Vocabulary Part Segmentation

APR

[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

OVSegmentor

OVSegmentor, CVPR23

c2f-seg

Official Implementation for ICCV'23 paper Coarse-to-Fine Amodal Segmentation with Shape Prior (C2F-Seg).

M3L

Official repository for "Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation"

OTSeg

The Official PyTorch Implementation of OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

PASTA

Proportional Amplitude Spectrum Training Augmentation for Synthetic to Real Domain Generalization

rewrite

[NeurIPS 2023] Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation

equivariance

ICCV 2023 Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors

ActionMAE

[AAAI 2023] Official pytorch implementation of "Towards Good Practices for Missing Modality Robust Action Recognition"

FDA

Official Implementation of Frequency-enhanced Data Augmentation for Vision-and-Language Navigation (NeurIPS2023)

MISS

amodal-dataset

[WACV 2024] Amodal Intra-class Instance Segmentation: Synthetic Dataset and Benchmark