DeepanChakravarthiPadmanabhan / dextLinks
Toolkit for explaining the detections of an object detector
☆14Updated 3 years ago
Alternatives and similar repositories for dext
Users that are interested in dext are comparing it to the libraries listed below
Sorting:
- ☆34Updated 2 years ago
- ☆36Updated 2 years ago
- Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation☆32Updated 2 years ago
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆29Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 2 months ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- ☆45Updated 4 years ago
- ☆12Updated 3 years ago
- ☆13Updated 3 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆67Updated 3 years ago
- PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf☆13Updated 5 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Updated 4 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Updated last year
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- ☆16Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation☆19Updated 3 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆32Updated 3 years ago
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22Updated 2 years ago
- codes for paper "Interpretability-Aware Vision Transformer"☆23Updated last year
- Active and Sample-Efficient Model Evaluation☆24Updated 2 weeks ago
- ☆13Updated 2 years ago
- Code accompanying our NeurIPS 2020 traffic4cast challenge☆13Updated 3 years ago
- End to end software to capture new objects using RGBD camera and augment them to get a annotated dataset to train deep nets☆11Updated 3 years ago
- Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and…☆16Updated 6 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 4 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year