ljm198134 Goto Github PK

a-boundary-based-out-of-distribution-classifier-for-generalized-zero-shot-learning

aas-dcl_fss

Dual Contrastive Learning for Few-shot Medical Image Segmentation

abdomenct-1k

The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

acol

Adversarial Complementary Learning for Weakly Supervised Object Localization

adl

Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)

adversarial-complementary-learning-for-weakly-supervised-object-localization

ACoL re-implementation by pytorch

affineinvariantobjdetection

afgic

Awesome Fine-Grained Image Classification

agam

Code for the AAAI 2021 paper "Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition".

agzsl

airlab

Image registration laboratory for 2D and 3D image data

apdrawinggan2

Code for Line Drawings for Face Portraits from Photos using Global and Local Structure based GANs (TPAMI)

aphotomanager

Manage local photos on Android: gallery, geotag with photomap, privacy, tags, find, sort, view, copy, send, ... .

aster

Recognizing cropped text in natural images.

atlas-gan

[ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

attentionzsl

Codes for Paper "Attribute Attention for Semantic Disambiguation in Zero-Shot Learning"

attngan

automatic_pulmonary_lobe_segmentation_using_deep_learning

automl

This is a collection of our NAS and Vision Transformer work.

awesome-domain-generalization

Awesome things about domain generalization, including papers, code, etc.

awesome-few-shot-image-generation

A curated list of papers, code and resources pertaining to few-shot image generation.

awesome-few-shot-learning

A curated list of resources about few-shot and one-shot learning

awesome-fine-grained-few-shot-learning

The summary of code and paper for few-shot learning in fine-grained recognition

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

awesome-zsl

resource bundles for zero-shot learning

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc