ibayed

ibayed's Stars

• mboudiaf/RePRI-for-Few-Shot-Segmentation

  (CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

  Language:Python16782928

• MaxZanella/CLIP-LoRA

  An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].

  Language:Python999

• jusiro/FLAIR

  [MedIA'24] FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

  Language:Python79267

• sinahmr/DIaM

  Official PyTorch Implementation of DIaM in "A Strong Baseline for Generalized Few-Shot Semantic Segmentation" (CVPR 2023)

  Language:Python64252

• mboudiaf/pytorch-meta-dataset

  A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

  Language:Python597259

• jusiro/CLAP

  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP).

  Language:Python57403

• MaxZanella/MTA

  [CVPR 2024] Zero-shot method for Vision-Language Models based on a robust formulation of the MeanShift algorithm for Test-time Augmentation (MTA).

  Language:Python40212

• ebennequin/few-shot-open-set

  Implementation of Open-Set Likelihood Maximization for Few-Shot Learning

  Language:Python39342

• by-liu/SegLossBias

  Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.com/science/article/abs/pii/S136184152300275X

  Language:Python37324

• sinahmr/NACLIP

  PyTorch Implementation of NACLIP in "Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation"

  Language:Python36315

• jusiro/fewshot-finetuning

  [MICCAIw'23 MedAGI] (Best Paper Award) Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation.

  Language:Python33116

• sbelharbi/deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator

  Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

  Language:Python29228

• FereshteShakeri/FewShot-CLIP-Strong-Baseline

  Language:Python27212

• mathilde-b/TTA

  Language:Python24233

• oveilleux/Realistic_Transductive_Few_Shot

  (NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

  Language:Python23224

• jeromerony/alma_prox_segmentation

  Code for the CVPR 2023 paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"

  Language:Python22213

• by-liu/CALS

  Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2211.15088

  Language:Python21321

• sbelharbi/deep-wsl-histo-min-max-uncertainty

  Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".

  Language:Python18153

• sbelharbi/fcam-wsol

  Pytorch implementation of F-CAM. Paper: "F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling".

  Language:Python15135

• ThalesGroup/pim-generalized-category-discovery

  Code for our ICCV 2023 paper "Parametric Information Maximization for Generalized Category Discovery"

  Language:Python15241

• imtiazziko/SLK-few-shot

  Clustering for Few-shot Learning

  Language:Python11312

• mboudiaf/Few-shot-histology

  Language:Python11312

• SegoleneMartin/transductive-CLIP

  Language:Python112

• sbelharbi/tcam-wsol-video

  Pytorch code for paper "TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos"

  Language:Python9301

• smounsav/tta_bot

  Code for Bag of Tricks for Fully Test-Time Adaptation

  Language:Python7100

• rB080/WSS_POLE

  This is the official implementation of our PrOmpt cLass lEarning (POLE).

  Language:Jupyter Notebook6002

• MarinePICOT/Adversarial-Robustness-via-Fisher-Rao-Regularization

  Language:Python51

• SegoleneMartin/PADDLE

  Language:Python52

• smounsav/bilevel_augment_histo

  Code for Automatic DA Learning using Bilevel Optimization for Histopathological Images paper

  Language:Python5120

• attackbench/AttackBench

  Attack benchmark repository

  Language:Python4270