Description
Book Synopsis.- Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval.
.- Rethinking Sparse Lexical Representations for Image Retrieval in the Age
of Rising Multi-Modal Large Language Models.
.- Boundary Attention: Learning curves, corners, junctions and grouping.
.- Deep Learning Meets Satellite Images - An Evaluation on Handcrafted and
Learning-based Features for Multi-date Satellite Stereo Images.
.- Image Color Consistency in Datasets: The Smooth-TPS3D Method.
.- Unsupervised Video Summarization: A Reconstruction Model with Proximal
Gradient Methods.
.- TF-OCM: Training Free Optimal Community Matching for Domain Generalized Few Shot Learning.
.- Perspective-Equivariance for Unsupervised Imaging with Camera Geometry.
.- Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications.
.- Calibration of Network Confidence for Unsupervised Domain Adaptation
Using Estimated Accuracy.
.- Logit disagreement: OoD Detection with Bayesian Neural Networks.
.- Can Your Generative Model Detect Out-of-Distribution Covariate Shift?.
.- Multi-label out-of-distribution detection via evidential learning.
.- UTrack: Multi-Object Tracking with Uncertain Detections.
.- TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection.
.- Sanity Checks for Explanation Uncertainty.
.- Sources of Uncertainty in 3D Scene Reconstruction.
.- The BRAVO Semantic Segmentation Challenge Results in UNCV2024.
.- Maximally Separated Active Learning.
.- Hyperbolic Metric Learning for Visual Outlier Detection.
.- A Bottom-Up Approach to Class-Agnostic Image Segmentation.
.- Adversarial Attacks on Hyperbolic Networks.
.- Hyperbolic Learning with Multimodal Large Language Models.
.- Embedding Geometries of Contrastive Language-Image Pre-Training.
.- Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
.- ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based
Formulation.
.- Backward-Compatible Aligned Representations via Orthogonal Transformation Layer.
