Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection

cs.CV

Submitted: 2026-10-04

Updated: 2026-10-15

Comments: Accepted at NeurIPS 2026

Code: https://github.com/nigelwoo2008-coder/DETRNN

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

Sources

• Deformable DETR: Deformable Transformers for End-to-End Object Detection
• DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
• Integrating Diverse Assignment Strategies into DETRs
• OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
• PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection
• NMS Strikes Back
• Dual-R-DETR: Resolving Query Competition with Pairwise Routing in Transformer Decoders
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• xLSTM: Extended Long Short-Term Memory
• Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
• Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
• VMamba: Visual State Space Model
• CrowdHuman: A Benchmark for Detecting Human in a Crowd

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