semantic segmentation
A computer vision task that involves classifying each pixel in an image into predefined categories, enabling detailed understanding of image content.
- $\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
- Bipolar Self-attention for Spiking Transformers
- Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
- Correlated Low-Rank Adaptation for ConvNets
- Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
- Exploring Structural Degradation in Dense Representations for Self-supervised Learning
- FlowFeat: Pixel-Dense Embedding of Motion Profiles
- GMM-based VAE model with Normalising Flow for effective stochastic segmentation
- GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset
- Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
- How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
- Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
- MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
- MobileODE: An Extra Lightweight Network
- Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
- OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
- OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
- Polyline Path Masked Attention for Vision Transformer
- REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
- RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation
- Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation
- ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
- RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing
- SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization
- Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
- Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection
- Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology
- Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
- Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
- TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery
- Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks