资讯

IEEE12 天
AI and Memory Wall | IEEE Journals & Magazine | IEEE Xplore
The availability of unprecedented unsupervised training data, along with neural scaling laws, has resulted in an unprecedented surge in model size and compute requirements for serving/training large ...
IEEE2月
Xuqiang Chang | IEEE Xplore Author Details
BERT Model,Biological Behavior,Biological Knowledge,Cognitive Domains,Collective Learning,Complex Systems,Conditional Random Field,Coupling Relationship,Decision ...
IEEE2月
MB-TaylorFormer V2: Improved Multi-Branch Linear Transformer Expanded by Taylor Formula for ...
Recently, Transformer networks have demonstrated outstanding performance in the field of image restoration due to the global receptive field and adaptability to input. However, the quadratic ...
IEEE3月
Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines | IEEE Journals ...
Visible-thermal small object detection (RGBT SOD) is a significant yet challenging task with a wide range of applications, including video surveillance, traffic monitoring, search and rescue. However, ...
IEEE4月
Recent Advances in Deep-Learning-Based SAR Image Target Detection and Recognition | IEEE ...
Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, aircraft, ...
IEEE5月
Hyperspectral Image Classification via Cascaded Spatial Cross-Attention Network | IEEE ...
In hyperspectral images (HSIs), different land cover (LC) classes have distinct reflective characteristics at various wavelengths. Therefore, relying on only a few bands to distinguish all LC classes ...
IEEE5月
Hybrid Path Tracking Control for Autonomous Trucks: Integrating Pure Pursuit and Deep ...
Path tracking control is essential for ensuring the safe and efficient operation of autonomous trucks, but traditional methods often struggle with nonlinear vehicle dynamics. While deep reinforcement ...
IEEE5月
TOPIC: A Parallel Association Paradigm for Multi-Object Tracking Under ... - IEEE Xplore
Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are widespread ...
IEEE5月
Global–Local Fusion With Semantic Information Guidance for Accurate Small Object ...
In recent years, the rapid development of the unmanned aerial vehicle (UAV) technology has generated a large number of aerial photography images captured by UAV. Consequently, the object detection in ...
IEEE5月
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated ... - IEEE Xplore
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated Samples and Coarse Estimate ...
IEEE5月
C3DGS: Compressing 3D Gaussian Model for Surface Reconstruction of Large-Scale Scenes Based ...
Methods based on 3D Gaussian Splatting (3DGS) for surface reconstruction face challenges when applied to large-scale scenes captured by UAV. Because the number of 3D Gaussians increases dramatically, ...
IEEE6月
FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments ...
Obstacle avoidance for uncrewed aerial vehicles (UAVs) in cluttered environments is significantly challenging. Existing obstacle avoidance for UAVs either focuses on fully static environments or ...