KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
Deep hashing has been widely used for large-scale approximate nearest neighbor search
due to its storage and search efficiency. However, existing deep hashing methods …
due to its storage and search efficiency. However, existing deep hashing methods …
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception
Multi-sensor fusion models play a crucial role in autonomous driving perception, particularly
in tasks like 3D object detection and HD map construction. These models provide essential …
in tasks like 3D object detection and HD map construction. These models provide essential …
[PDF][PDF] Online High-Definition Map Construction for Autonomous Vehicles: A Comprehensive Survey
High-Definition (HD) maps aim to provide comprehensive road information with centimeter-
level accuracy, essential for precise navigation and safe operation of Autonomous Vehicles …
level accuracy, essential for precise navigation and safe operation of Autonomous Vehicles …
M2M-TAG: Training-Free Many-to-Many Token Aggregation for Vision Transformer Acceleration
F Zeng, D Yu - Workshop on Machine Learning and Compression … - openreview.net
Vision transformers have been widely explored due to its unprecedented performance in
various downstream tasks. However, its heavy computational cost restricts its real-world …
various downstream tasks. However, its heavy computational cost restricts its real-world …