{"product_id":"computer-vision-eccv-2024-workshops-9783031915840","title":"Computer Vision  ECCV 2024 Workshops","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval.\u003cbr\u003e.- Rethinking Sparse Lexical Representations for Image Retrieval in the Age\u003cbr\u003eof Rising Multi-Modal Large Language Models.\u003cbr\u003e.- Boundary Attention: Learning curves, corners, junctions and grouping.\u003cbr\u003e.- Deep Learning Meets Satellite Images - An Evaluation on Handcrafted and\u003cbr\u003eLearning-based Features for Multi-date Satellite Stereo Images.\u003cbr\u003e.- Image Color Consistency in Datasets: The Smooth-TPS3D Method.\u003cbr\u003e.- Unsupervised Video Summarization: A Reconstruction Model with Proximal\u003cbr\u003eGradient Methods.\u003cbr\u003e.- TF-OCM: Training Free Optimal Community Matching for Domain Generalized Few Shot Learning.\u003cbr\u003e.- Perspective-Equivariance for Unsupervised Imaging with Camera Geometry.\u003cbr\u003e.- Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications.\u003cbr\u003e.- Calibration of Network Confidence for Unsupervised Domain Adaptation\u003cbr\u003eUsing Estimated Accuracy.\u003cbr\u003e.- Logit disagreement: OoD Detection with Bayesian Neural Networks.\u003cbr\u003e.- Can Your Generative Model Detect Out-of-Distribution Covariate Shift?.\u003cbr\u003e.- Multi-label out-of-distribution detection via evidential learning.\u003cbr\u003e.- UTrack: Multi-Object Tracking with Uncertain Detections.\u003cbr\u003e.- TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection.\u003cbr\u003e.- Sanity Checks for Explanation Uncertainty.\u003cbr\u003e.- Sources of Uncertainty in 3D Scene Reconstruction.\u003cbr\u003e.- The BRAVO Semantic Segmentation Challenge Results in UNCV2024.\u003cbr\u003e.- Maximally Separated Active Learning.\u003cbr\u003e.- Hyperbolic Metric Learning for Visual Outlier Detection.\u003cbr\u003e.- A Bottom-Up Approach to Class-Agnostic Image Segmentation.\u003cbr\u003e.- Adversarial Attacks on Hyperbolic Networks.\u003cbr\u003e.- Hyperbolic Learning with Multimodal Large Language Models.\u003cbr\u003e.- Embedding Geometries of Contrastive Language-Image Pre-Training.\u003cbr\u003e.- Learning Multi-Manifold Embedding for Out-Of-Distribution Detection\u003cbr\u003e.- ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based\u003cbr\u003eFormulation.\u003cbr\u003e.- Backward-Compatible Aligned Representations via Orthogonal Transformation Layer.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195478925655,"sku":"9783031915840","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computer-vision-eccv-2024-workshops-9783031915840","provider":"Book Curl","version":"1.0","type":"link"}