• MLCVNet

  • Referenced in 1 article [sw32541]
  • Multi-Level Context VoteNet for 3D Object Detection. In this paper, we address ... object detection task by capturing multi-level contextual information with the self-attention mechanism ... scale feature fusion. Most existing 3D object detection methods recognize objects individually, without giving ... detection performance on challenging 3D object detection datasets, i.e., SUN RGBD and ScanNet. We also...
  • SqueezeDet

  • Referenced in 1 article [sw32551]
  • Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. Object detection ... requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time ... fully convolutional neural network for object detection that aims to simultaneously satisfy...
  • SDBOX

  • Referenced in 25 articles [sw05137]
  • algorithm investigates the local behaviour of the objective function on the feasible set by sampling ... suitable” descent feasible coordinate direction is detected a new point is produced by performing ... build an approximation model of the objective function. The minimum of such a model...
  • Computer Vision Systems Toolbox

  • Referenced in 1 article [sw14868]
  • perform feature detection, extraction, and matching; object detection and tracking; motion estimation; and video processing ... learning based frameworks, you can train object detection, object recognition, and image retrieval systems. Algorithms...
  • PVANet

  • Referenced in 1 article [sw28335]
  • Lightweight Neural Networks for Real-time Object Detection. This paper presents how we can achieve ... accuracy in multi-category object detection task while minimizing the computational cost by adapting ... obtained solid results on well-known object detection benchmarks: 83.8% mAP (mean average precision...
  • DenseCap

  • Referenced in 2 articles [sw27203]
  • language. The dense captioning task generalizes object detection when the descriptions consist of a single...
  • UAVision

  • Referenced in 1 article [sw33052]
  • Constrained Vision Library for Color-Coded Object Detection. The ultimate goal of Computer Vision ... these areas, the use of color-coded objects is very common since it relieves ... artificial vision system for the detection of color-coded objects. The experimental results that ... robotic soccer games and for traffic sign detection, show that our library can work...
  • OpenSIFT

  • Referenced in 1 article [sw16553]
  • Feature Transform (SIFT) is a method to detect distinctive, invariant image feature points, which easily ... images to perform tasks such as object detection and recognition, or to compute geometrical transformations...
  • TextBoxes++

  • Referenced in 1 article [sw28332]
  • shot oriented scene text detector. Scene text detection is an important step of scene text ... challenging problem. Different from general object detections, the main challenges of scene text detection...
  • chemCal

  • Referenced in 12 articles [sw11069]
  • detection (LOD) and limit of quantification (LOQ). The functions work on model objects from - optionally...
  • SReN

  • Referenced in 1 article [sw28348]
  • neural network, named ShapeRegression Network (SReN), to detect storyboards withincomic images. Firstly, we use Fast ... these pro-posals. Unlike existing object detection methods which onlyoutput rectangle bounding boxes, SReN...
  • OpenTL

  • Referenced in 1 article [sw13535]
  • data acquisition up to model-based object detection and sequential localization, and defines...
  • AGG

  • Referenced in 49 articles [sw04449]
  • equipped with arbitrary computations on these Java objects described by a Java expression ... parsing, consistency checking of graphs and conflict detection in concurrent transformations by critical pair analysis...
  • CIDEr

  • Referenced in 1 article [sw26599]
  • processing. Due to recent progress in object detection, attribute classification, action recognition, etc., there...
  • FINN-R

  • Referenced in 1 article [sw25906]
  • CIFAR-10 classifiers to YOLO-based object detection on a range of platforms including PYNQ...
  • DIARETDB1

  • Referenced in 5 articles [sw14356]
  • benchmarking diabetic retinopathy detection from digital images. The main objective of the design has been ... used to benchmark diabetic retinopathy detection methods. By using this database and the defined testing...
  • SOREX

  • Referenced in 4 articles [sw10972]
  • task to distinguish exceptional outliers from regular objects. In recent research novel outlier ranking methods ... detection of outliers these approaches miss to provide reasons why an object should be considered ... pure detection of outliers. As wittinesses for the outlierness of an object, we provide information...
  • OverFeat

  • Referenced in 10 articles [sw17857]
  • using Convolutional Networks for classification, localization and detection. We show how a multiscale and sliding ... object boundaries. Bounding boxes are then accumulated rather than suppressed in order to increase detection...
  • MS-COCO

  • Referenced in 9 articles [sw32600]
  • localization. Our dataset contains photos of 91 objects types that would be easily recognizable ... involvement via novel user interfaces for category detection, instance spotting and instance segmentation. We present...