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.
Annotated tree crown bounding boxes in urban/rural environment
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2representative citing papers
ResAF-Net detects trees in satellite imagery for Palestinian agriculture, reaching 82% recall and 63% mAP@0.5 on the MillionTrees validation set and deployed in a web GIS.
citing papers explorer
-
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.
-
ResAF-Net: An Anchor-Free Attention-Based Network for Tree Detection and Agricultural Mapping in Palestine
ResAF-Net detects trees in satellite imagery for Palestinian agriculture, reaching 82% recall and 63% mAP@0.5 on the MillionTrees validation set and deployed in a web GIS.