dense prediction

FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation CVPR 2023 FLSL: Feature-level Self-supervised Learning NeurIPS 2023 GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023 Hierarchical Neural Memory Network for Low Latency Event Processing CVPR 2023 Masked Distillation with Receptive Tokens ICLR 2023 MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation CVPR 2023 Multi-Task Learning with Knowledge Distillation for Dense Prediction ICCV 2023 One-to-Few Label Assignment for End-to-End Dense Detection CVPR 2023 On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks CVPR 2023 OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data AAAI 2023 Patch-level Contrastive Learning via Positional Query for Visual Pre-training ICML 2023 Pixel-Wise Contrastive Distillation ICCV 2023 Pixel-Wise Prediction Based Visual Odometry via Uncertainty Estimation WACV 2023 Probabilistic Prompt Learning for Dense Prediction CVPR 2023 RaMLP: Vision MLP via Region-aware Mixing IJCAI 2023 Siamese Image Modeling for Self-Supervised Vision Representation Learning CVPR 2023 TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding ICLR 2023 Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search WACV 2023 Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023 Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching ICLR 2023 Vision Transformer Adapter for Dense Predictions ICLR 2023 Anytime Dense Prediction with Confidence Adaptivity ICLR 2022 CycleMLP: A MLP-like Architecture for Dense Prediction ICLR 2022 DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting CVPR 2022 Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning NeurIPS 2022