iskyiminever

SuS-X

Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]

CLIP-visualization

Attention visualization in CLIP

clip-gradCAM-explore

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

Prompt-Adapter

Prompt Tuning based Adapter for Vision-Language Model Adaption

DART

[ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

VLM_survey

Collection of AWESOME vision-language models for vision tasks

PRE

Prompt Learning with Residual Context Optimization for Vision-Language Models (2023)

plant_pathology_dl

FG-SSL

Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image Classification

RemoteCLIP

🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification

Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)

PART

Code for Part-Guided Relational Transformers for Fine-Grained Visual Recognition, appeared in TIP 2021

GIST

Generating Image Specific Text

LF2CS

The code of Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space

SimTrans-Weak-Shot-Classification

[NeurIPS 2021] The first weak-shot classification paper.

masking_strategies_bias_removal

Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)

LIFT

Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)

SIM-Trans_ACMMM2022

Learning-Multi-Subset-of-Classes-for-Fine-Grained-Recognition

CMAL

TOAST

Official code for "TOAST: Transfer Learning via Attention Steering"

CLIP-ES

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

FewShotVision

Code for Master research internship report : https://arxiv.org/abs/1909.13579

fewshot-segmentation

On the Texture Bias for Few-Shot CNN Segmentation

GFS-Seg

The official implementation of Generalized Few-shot Semantic Segmentation (CVPR 2022)

RP-Net

Code for Recurrent Mask Refinement for Few-Shot Medical Image Segmentation (ICCV 2021).

clip_with_few_shots

Few shot recognition using CLIP's OpenAI architecture.

SPPR

Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"