FALCON is a camera‑based 3D occupancy front‑end built on the AMD Kria KR260 FPGA that provides explicit latency guarantees for autonomous driving perception. The system uses cycle‑bounded programmable‑logic compute, a measured inference envelope over 100k frames, and a watchdog to flag stale outputs, achieving all 300k proxy frames within a 100 ms deadline plus at most 10.2 ms. On the full FlashOcc pipeline the board attains 29.88 mIoU on the Occ3D‑nuScenes set, matching 92.8 % of an FP32 baseline, while maintaining tighter tail latency than competing Jetson Orin and datacenter GPUs.
By Haohua Que, Mingkai Liu, Handong Yao
The paper presents a two‑stage speed‑limit sign recognizer for automotive SoCs that compresses a YOLO‑family detector via channel replay pruning and implements a lightweight five‑layer CNN reader using 4‑bit weights and 8‑bit activations. Replay pruning removes over 60% of parameters while matching parent accuracy, outperforming other pruning methods on YOLOv5n and YOLOv8n. The resulting system, with 0.72 M parameters, achieves 95.2% recognition accuracy at 94 fps on a Jetson AGX Orin, fitting within tight memory, arithmetic, and energy budgets.
By Se Un Park, Kyungkeon Chung, Huigeol Kim, Junyoung Park
We present SweepLSD, a line segment detector that reads the image exactly once and emits each segment within a few rows of its last pixel passing the scan line. Every stage, including connected-compon...
arXiv:2608.22086v1 Announce Type: cross
Abstract: We present SweepLSD, a line segment detector that reads the image exactly once and emits each segment within a few rows of its last pixel passing the...
By Yoshiyasu Shimizu
arXiv:2609.08914v2 Announce Type: replace
Abstract: Pixel-level annotation of fixed traffic-camera imagery is expensive, while crosswalk models trained from street-level imagery face a substantial vi...
By Abdirashid Omar, Jonghyuk Park
arXiv:2609.14247v1 Announce Type: cross
Abstract: Bird-strike mitigation at wind farms requires identifying distant birds that span only tens of pixels, so the classifier's input resolution N is a de...
By Takeshi Nishikawa
arXiv:2609.28327v1 Announce Type: new
Abstract: We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmentation without a learned stage-wis...
By Andrei Arhire, Mihaela-Elena Breab\u{a}n, Radu Timofte
arXiv:2607. 13234v1 Announce Type: cross Abstract: Deepfake detectors that achieve near-perfect scores on academic benchmarks collapse on real-world content: recent in-the-wild evaluations report AUC drops of 45-50% for state-of-the-art open-source models.
By Ken Jon Miyachi, Dylan Uys
arXiv:2607. 01984v1 Announce Type: cross Abstract: Newer lightweight convolutional neural networks are often presented as improving predictive performance and deployment efficiency, but such claims require controlled evaluation.
By Tasnim Shahriar
Detectors for AI-generated video are evaluated offline. A clip is decoded to pixels and scored once, increasingly by a large vision-language model.
arXiv:2602. 07400v2 Announce Type: replace Abstract: Gradient-based LUT- and logic-gate-based neural networks (LUTNet, LogicNets, DiffLogic, PolyLUT, NeuraLUT, WARP-LUT, DWN, LILogicNet, LightLUT) replace multiply-accumulate arithmetic with Boolean lookups.
By Simon B\"uhrer, Andreas Plesner, Aczel Till, Roger Wattenhofer
arXiv:2610.25068v2 Announce Type: replace-cross
Abstract: Resource-constrained robots and autonomous vehicles need scene memories that localize a camera and render nearby views without a desktop GPU....
By Haohua Que, Mingkai Liu, Tianle Zhu, Handong Yao