Initially, foreground objects are detected using the DETR-like object detection. Subsequently, queries for both foreground and background objects are fed into the mixed dense-sparse 3D occupancy decoder, performing upsampling in dense and sparse methods, respectively. Finally, a MaskFormer is utilized ...
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Inspired by DETR [62] in 2D detection, DETR3D [63] links learnable 3D object queries with 2D images by camera projection matrices and enables end-to-end 3D bounding box prediction without non-maximum suppression (NMS). M2BEV [64] also investigates the viability of simultaneously running multi...
SLIM is an integer program that optimizes direct measures of accuracy (the 0–1 loss) and sparsity (the ℓ0-seminorm) while restricting coefficients to a small set of coprime integers. In comparison to current methods for sparse linear classification, SLIM can produce scoring systems that are...
SCCMDet is a single-step detector, so its accuracy is a bit lower than that of Cascade RCNN and DETR. Although the performances of these models are good, they are are too slow to infer an image in real time and are thus not suitable for UAV-RS tasks. (2) YOLO-based detectors ...
It broadens the range of data set, but because semi-supervised learning is typically based on the assumption that labeled data and unlabeled data can be tagged with the same labels, a new group of machine learning is put forward, which is called "self-taught learning". Self-taught learning ...
ETxopceorimmpeanrtes imaging performance of the RD-SIM and CI-SIM under full-sampling and three under-sTaomcpolminpgacraesiems,atghinegexppeerrfoimrmenantscearoefctahreriRedDo-SuIMt waitnhdRCaId-SaIrMsatu-1nddeartaf,uGll-ostacmhaplVinogluamndetrtihcreSeAR dautanadnerd-sCam-bpalnindgaciarbs...
4. Conclusions (1) The Qaidam Basin is located in an arid and semi-arid region with a dry climate and fragile natural ecological environment. The precipitation process in the Qaidam Basin is significantly different spatially and temporally. Due to the sparse gauge stations and maldistribution, the...