segmentation
The process of partitioning an image or a dataset into meaningful segments, often used in computer vision to identify and locate objects or regions of interest within images. This can include instance segmentation, semantic segmentation, and more.
- Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
- Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT
- Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
- Massive Sound Embedding Benchmark (MSEB)
- Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
- OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations
- PanTS: The Pancreatic Tumor Segmentation Dataset
- Probing Equivariance and Symmetry Breaking in Convolutional Networks
- STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
- Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets
- Seg-VAR:Image Segmentation with Visual Autoregressive Modeling
- UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface
- Vision Transformers with Self-Distilled Registers