A boundary-fragment-model for object detection by Opelt, A, Pinz, A, Zisserman, A

“…The generative aspect of the model is used to determine an approximate segmentation.</p> <p>We demonstrate the following results: (i) the BFM detector is able to represent and detect object classes principally defined by their shape, rather than their appearance; and (ii) in comparison with other published results on several object classes (airplanes, cars-rear, cows) the BFM detector is able to exceed previous performances, and to achieve this with less supervision (such as the number of training images).…”

Causalqa: a causal framework for question answering by Dutta, Angshuk

“…Neural networks have proven their success in various fundamental applications such as object detection, image segmentation, image and text generation and several NLP tasks. …”
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Vision enhancement using artificial intelligence techniques by Yu, Xiaohan

“…So they proposed an algorithm using super pixel segmentation to increase the robust of towards rain occlusion and fast camera motion. …”
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As firm as their foundations: creating transferable adversarial examples across downstream tasks with CLIP by Hu, A, Gu, J, Pinto, F, Kamnitsas, K, Torr, PHS

“…Solely based on open-sourced CLIP vision encoders, this method can produce highly effective adversaries that simultaneously fool more than 20 downstream models spanning 4 common vision-language tasks (semantic segmentation, object detection, image captioning and visual question-answering). …”

The truth about cats and dogs by Parkhi, O, Vedaldi, A, Jawahar, C, Zisserman, A

“…In these cases we propose to use the template-based model to detect a distinctive part for the class, followed by detecting the rest of the object via segmentation on image specific information learnt from that part. …”

Unsupervised discovery of visual object class hierarchies by Sivic, J, Russell, BC, Zisserman, A, Freeman, WT, Efros, AA

“…Employing the multiple segmentation framework of Russell et al. [22], we show that meaningful object hierarchies, together with object segmentations, can be automatically learned from unlabeled and unsegmented image collections without supervision. …”

3-way respiratory sound classification using machine learning algorithms by Tu, Yixuan

“…This dissertation also shows the signal processing progress before the respiratory sound could be classified, which includes audio value extraction, data choosing, signal processing, segmentation, feature extraction, etc.…”
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Semantic map for indoor positioning system (floorplan enhancement with semantic SLAM) by Lim, Han Quan

“…In combination with semantic segmentation, semantically labelled point clouds are possible. …”
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Simple and flexible vision-based hand gesture recognition system by Lee, Chun Kiat.

“…This paper proposes a simple yet flexible Hand Gesture Recognition System-Codebook (HGRS-Codebook) using the techniques of codebook background subtraction, skin color segmentation, median filtering, contour detection, convexity defects and definition of peaks and valleys of fingertips. …”
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The stock price behaviour of Chinese markets : a preliminary study by Ang, Fui Siong, Neo, Chiw Ern, Tung, Puay Koon

“…By using daily data of these share indices from March 1993 to December 1994, the results show that weak form efficiency does not exist in the Bshare markets. Segmentation is found between the two B-share markets but not the A-share markets. …”
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Real-time human detection for surveillance applications by Hoe, Qi Xiang

“…The overall accuracy has improved with the enhancement of using additional feature of magnitude inclusive for the HOG computation and further enhanced with the aid of additional features of magnitude inclusive and limitation of magnitude for the HOG computation. Furthermore, segmentation has been performed on the head and body of the human figure for the purpose of system integration with the biometrics’ description. …”
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Analysis of air traffic controllers' mental workload and visual search efficiency to assess new air traffic control procedures by Ko, Kelvin Chi Kin

“…While this study highlights some of the concerns regarding dual orientation systems, it raises an area of focus for future research, where dual orientation systems could be leveraged on with the segmentation of tasks…”
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Automated location matching in movies by Schaffalitzky, F, Zisserman, A

“…The local spatial support of the features means that segmentation of the frame (e.g., into foreground/background) is not required, and partial occlusion is tolerated. …”

Digital Anatomy : Applications of Virtual, Mixed and Augmented Reality / by Uhl, Jean-François, editor 643187, Jorge, J. A. (Joaquim Armando), editor 643188, Lopes, Daniel Simões, editor 643190, Campos, Pedro F., editor 643191

SHREC’21: Quantifying shape complexity by Arslan, Mazlum Ferhat, Haridis, Alexandros, Rosin, Paul L., Tari, Sibel, Brassey, Charlotte, Gardiner, James D., Genctav, Asli, Genctav, Murat

“…The dataset consists of three collections: 1800 perturbed cube and sphere models classified into 4 categories, 50 shapes inspired from the fields of architecture and design classified into 2 categories, and the data from the Princeton Segmentation Benchmark, which consists of 19 natural object categories. …”
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Performance evaluation of SAFIS for benchmark problems by Sinara Vijayan.

“…Using two classification benchmark problems Image Segmentation and DNA, the selection of the optimal algorithm parameters is done and the performace of SAFIS for the classification problems is also studied with other algorithms. …”
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iNEMO : a multi-sensor real-time human activity monitoring system by Mi, Ding.

“…The real-time indoor human behavior monitoring application performs above expectation. The image segmentation, objects detection, tracking and recognition process are successfully working on multiple objects application within certain effective range. …”
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Deepsea imaging by Quah, Sherman Kah Hou

“…Moving on, the 3 steps to understanding the transformation of histogram from normalization to equalization and lastly the segmentation. Putting the Gaussian or Normal distribution rule into place with mean and standard deviation to ensure everything is in place. …”
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Effects of maze appearance on maze solving by Semizer, Yelda, Yu, Dian, Wan, Qianqian, Balas, Benjamin, Rosenholtz, Ruth

“…Our findings imply a role of both crowding and figure/ground segmentation in mental maze solving and suggest reformulating the growth cone models.…”
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3D scene graph generation from synthesis 3D indoor scene by Qin, Huaiyuan

“…Existing 3D indoor datasets focus mainly on object instance class and segmentation labels, making it difficult to be utilized to scene graph related tasks. …”
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