Caltech-Z

consistencydecoder

Consistency Distilled Diff VAE

AAAI-2024-Papers

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

OW-DETR

[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer

VAND-APRIL-GAN

[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

DiAD

Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.

opendet2

Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)

Spatial-Transform-Decoupling

TPAMI-Limit

The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.

ledetection

[AISTATS 2024] Label-Efficient Detection Toolbox and Benchmark

Prompt-and-Align

Data and code for "Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection" (CIKM 2023)

FPD

Official code of the paper "Fine-Grained Prototypes Distillation for Few-Shot Object Detection (AAAI 2024)"

AdaptiveFSS

Adaptive FSS has been Accepted by AAAI 2024. A Novel Few-Shot Segmentation Framework via Prototype Enhancement

MetaAdapt

[ACL 2023] PyTorch Implementation of MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning

food

HSIC-based Moving WeightAveraging for Few-Shot Open-Set Object Detection (ACM MM'23)

ML-iFSOD

[TCSVT'22]Meta-Learning Based Incremental Few-Shot Object Detection

ST-FSOD

SAE-FSDet

Code for reproducing the results in our TGRS-2024 paper Few-Shot Object Detection in Remote Sensing Images via Label-Consistent Classifier and Gradual Regression.

DAFOSNET

Official Implementation of "Domain Adaptive Few-Shot Open-Set Learning" in IEEE/CVF International Conference on Computer Vision (ICCV'23)

FSOSOD

Towards Few-Shot Open-Set Object Detection

MSOCL

The code for “Multiscale Object Contrastive Learning–Derived Few-Shot Object Detection in VHR imagery”

iTFA

Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach (ICRA 2023)

IDEAL

Code for "From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning" in TPAMI 2023.

UNP

The code for paper "Understanding Negative Proposals in Generic Few-Shot Object Detection"

AsC

Generative and Contrastive Combined Support Sample Synthesis Model for Few/Zero-Shot Surface Defect Detection

ProLT-CZSL

Code of Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning (AAAI2024)

RP-FSOD

EOD

Code for AAAI2024 paper: Towards Evidential and Class Separable Open Set Object Detection

fs-generalization

Official implementation for "A Statistical Model for Predicting Generalization in Few-Shot Classification" accepted at EUSIPCO 2023

GFSL

Pytorch code for the paper "Generalized few-shot learning for crop hyperspectral image precise classification“

Few-Shot_Domain_Adaptative_Object_Detection_via_Adversarial_Learning

Master-Thesis at Bosch