Adamixer: A fast-converging query-based object detector. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5364–5373, 2022. [3]Xizhou Zhu, Han Hu, Stephen Lin, and Jif
一个大胆又合理的猜测是,应该也work. XD [1] End-to-end object detection with transformers [2] Adamixer: A fast-converging query-based object detector. [3] Deformable detr: Deformable transformers for end-to-end object detection [4] Dab-detr: Dynamic anchor boxes are better queries for detr....
(1) Are the feature distortion problem [18] also existed in the few-shot object detection fine-tuning process? We predict that direct fine-tuning distorts the query-based detector pretraining features in FSOD settings. When the linear head of the detectors is initialized randomly, the head ali...
Reference [1] End-to-end object detection with transformers [2] Adamixer: A fast-converging query-based object detector. [3] Deformable detr: Deformable transformers for end-to-end object detection [4] Dab-detr: Dynamic anchor boxes are better queries for detr. [5] Group detr: Fast trainin...
Paper tables with annotated results for RayFormer: Improving Query-Based Multi-Camera 3D Object Detection via Ray-Centric Strategies
StatusCodesRangeBasedTriggerOutput StatusOutput StorageMigrationOptions StorageMigrationOptionsOutput StorageMigrationOptionsProperties StorageMigrationOptionsPropertiesOutput StorageMigrationResponse StorageMigrationResponseOutput StorageMigrationResponseProperties StorageMigrationResponsePropertiesOutput StringDictionary StringDictionar...
There are two inherent drawbacks of previous query-based detectors: first, query-based detectors are inherently insensitive to the detection of tiny objects; second, the performance of the detectors gradually saturates as the network depth increases. This paper proposes a novel approach to solve the...
java.lang.Object com.azure.resourcemanager.appservice.models.QueryUtterancesResultsImplementsJsonSerializable<QueryUtterancesResults> public final class QueryUtterancesResults implements JsonSerializable<QueryUtterancesResults>Suggested utterances where the detector can be applicable....
现有的Query-based的目标检测器的Decoder部分服从FFN的范式,其中第一层decoder layer进行将与图片内容无关的可学习Query转化成和图片内容强相关的Query(initialization),后续继续使用不共享参数的一系列decoder layer对输入的object表示Query进行不断微调(refinement)。数学表示如下: ...
题目:Query matching for spatio-temporal action detection with query-based object detector 名称:基于查询的对象检测器的时空动作检测查询匹配 论文:arxiv.org/abs/2409.1840 代码: Anchor DETR 题目:Anchor DETR: Query Design for Transformer-Based Object Detection 名称:Anchor DETR:基于Transformer的目标检测查询...