Presents the first multispectral dataset for fine-grained small-UAV detection and a dual-stream MFDNet baseline that gains 6.2% AP50 over RGB-only detectors by using spectral material cues.
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DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
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abstract
We present DINO (\textbf{D}ETR with \textbf{I}mproved de\textbf{N}oising anch\textbf{O}r boxes), a state-of-the-art end-to-end object detector. % in this paper. DINO improves over previous DETR-like models in performance and efficiency by using a contrastive way for denoising training, a mixed query selection method for anchor initialization, and a look forward twice scheme for box prediction. DINO achieves $49.4$AP in $12$ epochs and $51.3$AP in $24$ epochs on COCO with a ResNet-50 backbone and multi-scale features, yielding a significant improvement of $\textbf{+6.0}$\textbf{AP} and $\textbf{+2.7}$\textbf{AP}, respectively, compared to DN-DETR, the previous best DETR-like model. DINO scales well in both model size and data size. Without bells and whistles, after pre-training on the Objects365 dataset with a SwinL backbone, DINO obtains the best results on both COCO \texttt{val2017} ($\textbf{63.2}$\textbf{AP}) and \texttt{test-dev} (\textbf{$\textbf{63.3}$AP}). Compared to other models on the leaderboard, DINO significantly reduces its model size and pre-training data size while achieving better results. Our code will be available at \url{https://github.com/IDEACVR/DINO}.
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representative citing papers
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citing papers explorer
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Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method
Presents the first multispectral dataset for fine-grained small-UAV detection and a dual-stream MFDNet baseline that gains 6.2% AP50 over RGB-only detectors by using spectral material cues.
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Best Segmentation Buddies for Image-Shape Correspondence
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WD-FQDet: Multispectral Detection Transformer via Wavelet Decomposition and Frequency-aware Query Learning
WD-FQDet decouples modality-shared and modality-specific features in infrared-visible images via wavelet-based frequency decomposition and frequency-aware query selection to achieve state-of-the-art detection performance.
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Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection
Thermal-Det is the first LLM-supervised open-vocabulary thermal object detector, created via synthetic data conversion from GroundingCap-1M and RGB-to-thermal distillation, yielding 2-4% AP gains on benchmarks.
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Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport
OT-Bridge Editor uses geometrically constrained entropic optimal transport to synthesize CAG images with precise stenosis, improving downstream detection by 27.8% on ARCADE and 23.0% on a multi-center dataset.
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SpectraDINO: Bridging the Spectral Gap in Vision Foundation Models via Lightweight Adapters
SpectraDINO adapts frozen DINOv2 backbones to multispectral data via per-modality adapters and staged distillation with cosine, contrastive, patch, and neighborhood-structure losses, achieving SOTA on object detection and segmentation benchmarks.
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DouC: Dual-Branch CLIP for Training-Free Open-Vocabulary Segmentation
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DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts
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Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation
DeP mitigates MLLM hallucinations by dynamically perturbing text prompts to identify and reinforce stable visual evidence regions while counteracting language prior biases using attention variance and logit statistics.
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WUTDet: A 100K-Scale Ship Detection Dataset and Benchmarks with Dense Small Objects
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RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details
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SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection
SARES-DEIM achieves 76.4% mAP50:95 and 93.8% mAP50 on HRSID by routing SAR features through sparse frequency and wavelet experts plus a high-resolution preservation neck, outperforming prior YOLO and SAR detectors.
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TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding
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SAM 3: Segment Anything with Concepts
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TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval
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SparseSAM: Structured Sparsification of Activations in Segment Anything Models
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Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness
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ZoomSpec: A Physics-Guided Coarse-to-Fine Framework for Wideband Spectrum Sensing
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PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training
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Vision Transformers Need More Than Registers
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SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units
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FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer
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Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation
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A Weak-Signal-Aware Framework for Subsurface Defect Detection: Mechanisms for Enhancing Low-SCR Hyperbolic Signatures
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OMNI-PoseX: A Fast Vision Model for 6D Object Pose Estimation in Embodied Tasks
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Beyond First-Order: Learning Riemannian Geometries for Invariant Visual Place Recognition
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Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregation
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Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
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Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving
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LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting
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AMIEOD: Adaptive Multi-Experts Image Enhancement for Object Detection in Low-Illumination Scenes
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FSDETR: Frequency-Spatial Feature Enhancement for Small Object Detection
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