论文精选 61
PanoWorld: Real-World Panoramic Generation
In this work, we aim to address the challenge of long-range memory in panoramic world mode…
领域：cs.CV作者：Haoyuan Li、Dizhe Zhang、Yuemei Zhou
#cs.CV · 9 条相关内容
论文精选 61
Scalable Visual Pretraining for Language Intelligence
The rapid progress of large foundation models has been driven predominantly by pretraining…
领域：cs.CV作者：Yiming Zhang、Zhonghan Zhao、Wenwei Zhang
论文精选 61
OpenLongTail: Generative Scaling of Long-Tail Driving Data
Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge case…
领域：cs.CV作者：Lulin Liu、Nuo Chen、Yan Wang
论文精选 61
Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models
Vision language models (VLMs) have made remarkable progress in visual reasoning during the…
领域：cs.CV作者：Shravan Murlidaran、Miguel P. Eckstein
论文精选 61
Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks
In many real-world systems, including articulated robots and biomechanical models, rotatio…
领域：cs.CV作者：Yangting Sun、Zijun Cui、Yufei Zhang
论文精选 61
The Effects of Synthetic Data and Label Distribution on Canola Branch Counting
Collecting annotated plant images for automated phenotyping is often slow and expensive. P…
领域：cs.CV作者：Amirsalar Darvishpour、Mikolaj Cieslak、Adam Runions
论文精选 61
4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction in 4D Radar-Camera Full-Scene Perception
Reliable autonomous driving requires full-scene perception that couples foreground objects…
领域：cs.CV作者：Xiaokai Bai、Lianqing Zheng、Runwei Guan
论文精选 61
Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing
The deployment of large-scale foundation models, such as the Segment Anything Model 3 (SAM…
领域：cs.CV作者：Mohammad Dabaja、Turgay Celik
论文精选 61
Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation
Generating long-duration, high-definition, and rhythmically synchronized dance videos dire…
领域：cs.CV作者：Mingyang Huang、Peng Zhang、Li Hu