AgroVG is a new multi-source benchmark for agricultural visual grounding formulated as generalized set prediction, with protocols for box and mask grounding across single-target, multi-target, and target-absent queries from six object families.
Berg, and Tamara L
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
ACCEPT 2representative citing papers
WildRoadBench provides a professionally annotated UAV corpus and dual-track protocol showing frontier VLMs and LLM agents achieve limited performance on wild aerial road-damage grounding under unified metrics.
citing papers explorer
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AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding
AgroVG is a new multi-source benchmark for agricultural visual grounding formulated as generalized set prediction, with protocols for box and mask grounding across single-target, multi-target, and target-absent queries from six object families.
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WildRoadBench: A Wild Aerial Road-Damage Grounding Benchmark for Vision-Language Models and Autonomous Agents
WildRoadBench provides a professionally annotated UAV corpus and dual-track protocol showing frontier VLMs and LLM agents achieve limited performance on wild aerial road-damage grounding under unified metrics.