consistency loss

BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images CVPR 2026 PointAlign: Feature-Level Alignment Regularization for 3D Vision-Language Models CVPR 2026 SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation CVPR 2026 Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation CVPR 2026 Enhancing Lyrics Transcription on Music Mixtures with Consistency Loss Interspeech 2025 Generative Image Layer Decomposition with Visual Effects CVPR 2025 CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation CVPR 2024 Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data ICML 2024 Focus On What Matters: Separated Models For Visual-Based RL Generalization NeurIPS 2024 ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision ICML 2024 Improved Test-Time Adaptation for Domain Generalization CVPR 2023 Improving Joint Speech-Text Representations Without Alignment Interspeech 2023 Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation CVPR 2023 Logical Implications for Visual Question Answering Consistency CVPR 2023 Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments MLHC 2023 SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks Interspeech 2023 Weakly-Supervised Camouflaged Object Detection with Scribble Annotations AAAI 2023 Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes CVPR 2022 CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision CVPR 2022 Okapi: Generalising Better by Making Statistical Matches Match NeurIPS 2022 PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction CVPR 2022 RecursiveMix: Mixed Learning with History NeurIPS 2022 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data ICML 2022 Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks ACL 2022 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022