Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions

arXiv:2509.25805 · cs.CV · Submitted 2025-09-30 · Read on arXiv

cs.CV

Submitted: 2025-09-30

Updated: 2025-09-30

Comments: 23 pages, 11 figures, 4 tables

Journal ref: Computers and Electronics in Agriculture 251 (2026) 111968

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Adaptation — 4× in this paper · explained in 1 episode
Fine-Tuning — 2× in this paper · explained in 5 episodes
Ablation — 1× in this paper · explained in 1 episode
Ablation Studies — 1× in this paper · explained in 1 episode
Dynamic Similarity-based Graph Adaptation — 1× in this paper
Embeddings — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Graph Construction — 1× in this paper · explained in 3 episodes
Instance Segmentation — 1× in this paper · explained in 3 episodes
Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 15 episodes
Parameter Efficiency — 1× in this paper · explained in 3 episodes
Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 3 episodes
Parameter-Efficient Fine-Tuning (PEFT) — 1× in this paper · explained in 5 episodes
Segment Anything Model — 1× in this paper
Segment Anything Model (SAM) — 1× in this paper · explained in 2 episodes