Lama's starred repositories

Language:PythonLicense:MITStargazers:82Issues:0Issues:0
Language:PythonStargazers:6Issues:0Issues:0

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!

Language:PythonLicense:MITStargazers:397Issues:0Issues:0

FPD

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

Language:PythonStargazers:27Issues:0Issues:0

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.

Language:PythonLicense:Apache-2.0Stargazers:17Issues:0Issues:0

ledetection

[AISTATS 2024] Label-Efficient Detection Toolbox and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:32Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:17Issues:0Issues:0

EOD

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

Language:PythonLicense:MITStargazers:5Issues:0Issues:0

AdaptiveFSS

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

Language:PythonStargazers:28Issues:0Issues:0

OW-DETR

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

Language:PythonStargazers:232Issues:0Issues:0

opendet2

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

Language:PythonStargazers:100Issues:0Issues:0

DiAD

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

Language:PythonLicense:Apache-2.0Stargazers:123Issues:0Issues:0

ML-iFSOD

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

Language:PythonLicense:MITStargazers:20Issues:0Issues:0

MetaAdapt

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

Language:PythonStargazers:26Issues:0Issues:0

MSOCL

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

Language:PythonLicense:Apache-2.0Stargazers:10Issues:0Issues:0

AsC

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

Language:PythonStargazers:7Issues:0Issues:0

IDEAL

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

Language:PythonStargazers:9Issues:0Issues:0

FSOSOD

Towards Few-Shot Open-Set Object Detection

Stargazers:10Issues:0Issues:0

Prompt-and-Align

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

Language:PythonStargazers:32Issues:0Issues:0

DAFOSNET

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

Language:PythonLicense:MITStargazers:11Issues:0Issues:0

TPAMI-Limit

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

Language:PythonStargazers:35Issues:0Issues:0

fs-generalization

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

Language:PythonLicense:MITStargazers:3Issues:0Issues:0

GFSL

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

Language:PythonStargazers:2Issues:0Issues:0

VAND-APRIL-GAN

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

Language:PythonStargazers:195Issues:0Issues:0

iTFA

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

License:MITStargazers:10Issues:0Issues:0

consistencydecoder

Consistency Distilled Diff VAE

Language:PythonLicense:MITStargazers:2130Issues:0Issues:0

food

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

Language:PythonStargazers:23Issues:0Issues:0

UNP

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

Language:PythonLicense:Apache-2.0Stargazers:9Issues:0Issues:0

diffae

Official implementation of Diffusion Autoencoders

Language:Jupyter NotebookLicense:MITStargazers:846Issues:0Issues:0