• SIFT

  • Referenced in 609 articles [sw16554]
  • approach to using these features for object recognition. The recognition proceeds by matching individual features ... identify clusters belonging to a single object, and finally performing verification through least-squares solution ... pose parameters. This approach to recognition can robustly identify objects among clutter and occlusion while...
  • SURF

  • Referenced in 171 articles [sw29761]
  • context of a real-life object recognition application. Both show SURF’s strong performance...
  • PCA-SIFT

  • Referenced in 78 articles [sw04592]
  • component of many image registration and object recognition algorithms. Mikolajczyk and Schmid recently evaluated...
  • Camera Calibration

  • Referenced in 52 articles [sw13537]
  • frameworks, you can train object detection, object recognition, and image retrieval systems. Algorithms are available...
  • LabelMe

  • Referenced in 44 articles [sw36633]
  • labels to be used for object detection and recognition research. Such data is useful ... collected a large dataset that spans many object categories, often containing multiple instances over ... datasets used for object recognition and detection. Also, we show how to extend the dataset...
  • MS-COCO

  • Referenced in 22 articles [sw32600]
  • state-of-the-art in object recognition by placing the question of object recognition ... images of complex everyday scenes containing common objects in their natural context. Objects are labeled...
  • DeCAF

  • Referenced in 21 articles [sw17856]
  • Deep Convolutional Activation Feature for Generic Visual Recognition. We evaluate whether features extracted from ... large, fixed set of object recognition tasks can be re-purposed to novel generic tasks...
  • SoftPOSIT

  • Referenced in 8 articles [sw28187]
  • many areas of computer vision, including object recognition, object tracking, site inspection and updating...
  • VoxNet

  • Referenced in 6 articles [sw36666]
  • Convolutional Neural Network for real-time object recognition. Robust object recognition is a crucial skill...
  • PacthDock

  • Referenced in 6 articles [sw12399]
  • criteria. PatchDock algorithm is inspired by object recognition and image segmentation techniques used in Computer...
  • SVMlight

  • Referenced in 262 articles [sw04076]
  • Vapnik, 1995] for the problem of pattern recognition, for the problem of regression ... that it orders a new set of objects as accurately as possible. Such ranking problems ... text classification [Joachims, 1999c][Joachims, 1998a], image recognition tasks, bioinformatics and medical applications. Many tasks...
  • CORe50

  • Referenced in 3 articles [sw37988]
  • Dataset and Benchmark for Continuous Object Recognition. Continuous/Lifelong learning of high-dimensional data streams ... context of real-world object recognition applications (e.g., robotic vision), where continuous learning is crucial ... benchmark CORe50, specifically designed for continuous object recognition, and introduce baseline approaches for different continuous...
  • SimpleDet

  • Referenced in 3 articles [sw30738]
  • Framework for Object Detection and Instance Recognition. Object detection and instance recognition play a central ... surveillance and medical image analysis. However, training object detection models on large scale datasets remains...
  • PISA

  • Referenced in 3 articles [sw27597]
  • applications such as image segmentation and object recognition, assigning pixel-accurate saliency values to uniformly...
  • AdaFrame

  • Referenced in 3 articles [sw25550]
  • tasks, such as feature extraction for object recognition. Connections with deep convolutional networks are also...
  • OpenSALICON

  • Referenced in 2 articles [sw25869]
  • semantics encoded in DNNs pretrained for object recognition. Two key components are fine-tuning...
  • VizWear

  • Referenced in 2 articles [sw01001]
  • graphical overlay by applying object recognition techniques and the Hand Mouse, which enables the wearer...
  • ViDRILO

  • Referenced in 1 article [sw28256]
  • both place classification and object recognition tasks. The large number of labeled frames in conjunction ... such as multimodal place classification and object recognition, 3D reconstruction or point cloud data compression...
  • OpenLORIS

  • Referenced in 1 article [sw37994]
  • provides new benchmarks for validating lifelong object recognition algorithms. Moreover, we have provided a testbed ... with 4 evaluation metrics over the OpenLORIS-Object ... dataset. The results demonstrate that the object recognition task in the ever-changing difficulty environments...
  • DeepGaze II

  • Referenced in 1 article [sw28154]
  • fixations from deep features trained on object recognition. Here we present DeepGaze II, a model ... deep neural network trained to identify objects in images. Contrary to other saliency models that ... gain), that deep features trained on object recognition provide a versatile feature space for performing...