arXiv Artificial IntelligenceEA-LiteUNet: An Edge-Adaptive and Resource-Efficient U-Net for Boundary-Sensitive Dermoscopic Image Segmentation
arXiv:2608.15537v1 Announce Type: cross Abstract: Accurate boundary delineation remains a persistent…
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arXiv Artificial IntelligencearXiv:2608.15537v1 Announce Type: cross Abstract: Accurate boundary delineation remains a persistent…
arXiv Artificial IntelligencearXiv:2608.15472v1 Announce Type: cross Abstract: The problem of networked information aggregation, studied…
arXiv Artificial IntelligencearXiv:2608.15459v1 Announce Type: cross Abstract: Attention mechanisms have driven machine learning for a…
arXiv Artificial IntelligencearXiv:2608.15428v1 Announce Type: cross Abstract: Multiple-choice benchmarks are graded on whether a model…
arXiv Artificial IntelligencearXiv:2608.15425v1 Announce Type: cross Abstract: Vision-language models (VLMs) achieve strong performance on…
arXiv Artificial IntelligencearXiv:2608.15424v1 Announce Type: cross Abstract: The rapid adoption of large language models has enabled the…
arXiv Artificial IntelligencearXiv:2608.15417v1 Announce Type: cross Abstract: Governments use laws, institutions, funding programs and…
arXiv Artificial IntelligencearXiv:2608.15412v1 Announce Type: cross Abstract: Encoder-based code representation models remain widely…
arXiv Artificial IntelligencearXiv:2608.15410v1 Announce Type: cross Abstract: Reasoning segmentation enables vision-language models…
arXiv Artificial IntelligencearXiv:2608.15405v1 Announce Type: cross Abstract: Afterlife Delegation Protocol is a speculative design…
arXiv Artificial IntelligencearXiv:2608.15403v1 Announce Type: cross Abstract: You will die eventually. Your agents may not. An AI agent…
arXiv Artificial IntelligencearXiv:2608.15369v1 Announce Type: cross Abstract: Lossy audio compression algorithms traditionally rely on…