ATBench is a new trajectory-level benchmark with 1,000 diverse and realistic scenarios for assessing safety in LLM agents.
Domain-rag: Retrieval-guided compositional image generation for cross-domain few-shot object detection
3 Pith papers cite this work. Polarity classification is still indexing.
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GiPL uses iterative pseudo-label self-training on support sets plus generative augmentation from VLMs to improve CD-FSOD performance on RUOD, CARPK, and CarDD under 1/5/10-shot regimes.
The NTIRE 2026 CD-FSOD Challenge report details innovative methods and performance results from 19 teams on cross-domain few-shot object detection in open- and closed-source tracks.
citing papers explorer
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ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis
ATBench is a new trajectory-level benchmark with 1,000 diverse and realistic scenarios for assessing safety in LLM agents.
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GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection
GiPL uses iterative pseudo-label self-training on support sets plus generative augmentation from VLMs to improve CD-FSOD performance on RUOD, CARPK, and CarDD under 1/5/10-shot regimes.
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The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
The NTIRE 2026 CD-FSOD Challenge report details innovative methods and performance results from 19 teams on cross-domain few-shot object detection in open- and closed-source tracks.