MoonLab-YH / AOD_MEH_HUALinks
Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation" presented on ICLR 2023.
☆26Updated 2 years ago
Alternatives and similar repositories for AOD_MEH_HUA
Users that are interested in AOD_MEH_HUA are comparing it to the libraries listed below
Sorting:
- [CVPR 2024] Plug and Play Active Learning for Object Detection☆102Updated last year
- Official Implementation of "Box-Level Active Detection (CVPR2023 highlight)"☆23Updated 2 years ago
- [ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation☆60Updated last year
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33Updated 2 years ago
- DEAL : Difficulty-awarE Active Learning for Semantic Segmentaion☆21Updated 4 years ago
- [NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation☆32Updated last year
- [CVPR 2024] Exploring Orthogonality in Open World Object Detection☆55Updated 8 months ago
- [NeurIPS 2023] Towards Free Data Selection with General-Purpose Models☆41Updated 10 months ago
- The official implementation of the method of Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive Object Detection☆24Updated 2 years ago
- Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022☆29Updated 3 years ago
- [ECCV 2024 - Oral Presentation] Python library that provides tools for calibrating object detectors and evaluating them☆33Updated 10 months ago
- Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)☆112Updated 3 years ago
- Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)☆71Updated last year
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆68Updated 4 years ago
- source code for CVPR'22 paper "Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild"☆118Updated 2 years ago
- ☆25Updated 3 years ago
- Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR…☆56Updated 9 months ago
- Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]☆51Updated 2 years ago
- revisiting open world object detection☆78Updated 3 years ago
- Official Pytorch Codebase for Towards Online Domain Adaptive Object Detection [WACV 2023]☆42Updated 2 years ago
- [CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection☆30Updated 2 years ago
- A Siamese self-supervised pretraining approach for the Transformer architecture in DETR☆37Updated 2 years ago
- [ICCV 2021] Deep Metric Learning for Open World Semantic Segmentation☆38Updated 3 years ago
- Official implementation of paper "DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition"☆38Updated last year
- Official PyTorch implementation of our paper "Dispersing Prompt Expansion for Class-Agnostic Object Detection" (NeurIPS 2024)☆13Updated last year
- ☆14Updated last year
- [CVPR 2023] Official Pytorch code for PROB: Probabilistic Objectness for Open World Object Detection☆143Updated last year
- Source code for selective scaling in the paper of << On Calibrating Semantic Segmentation Models - Analyses and An Algorithm>> (CVPR 2023…☆15Updated 2 years ago
- [ECCV2022] Gumbel Optimised Loss for Long Tailed Instance Segmentation.☆18Updated 3 years ago
- Imbalanced learning tool for imbalanced recognition and segmentation☆88Updated 2 years ago