3.6.2.4 Performance Characterization in Computer Vision

Chapter Contents (Back)
Performance. Evaluation.
See also Explainable Aritficial Intelligence.

Haralick, R.M.[Robert M.],
Performance Characterization in Computer Vision,
CVGIP(60), No. 2, September 1994, pp. 245-249.
DOI Link BibRef 9409
Earlier: CAIP93(1-9).
Springer DOI 9309
BibRef
Earlier: BMVC92(1-8).
PDF File. BibRef
Earlier:
Methodology for Experimental Computer Vision,
CVPR89(437-438).
IEEE DOI Dialogue. Methodological issues in evaluating performance. BibRef

Cinque, L., Guerra, C., Levialdi, S.,
Performance Characterization in Computer Vision: Reply,
CVGIP(60), No. 2, September 1994, pp. 250-252.
DOI Link BibRef 9409

Weng, J.Y., Huang, T.S.,
Performance of Computer Vision Algorithms: Reply,
CVGIP(60), No. 2, September 1994, pp. 253-256.
DOI Link BibRef 9409

Meer, P.,
Computer Vision -- The Goal and the Means: Reply,
CVGIP(60), No. 2, September 1994, pp. 257-259.
DOI Link BibRef 9409

Shirai, Y.,
Performance Characterization in Computer Vision: Reply,
CVGIP(60), No. 2, September 1994, pp. 260-261.
DOI Link BibRef 9409

Draper, B.A., Beveridge, J.R.,
Performance Characterization in Computer Vision: Reply,
CVGIP(60), No. 2, September 1994, pp. 262-263.
DOI Link BibRef 9409

Haralick, R.M.,
Performance Characterization in Computer Vision: Reply,
CVGIP(60), No. 2, September 1994, pp. 264-265.
DOI Link BibRef 9409


Gustafson, L.[Laura], Rolland, C.[Chloe], Ravi, N.[Nikhila], Duval, Q.[Quentin], Adcock, A.[Aaron], Fu, C.Y.[Cheng-Yang], Hall, M.[Melissa], Ross, C.[Candace],
FACET: Fairness in Computer Vision Evaluation Benchmark,
ICCV23(20313-20325)
IEEE DOI Code:
WWW Link. 2401
BibRef

Gao, I.[Irena], Ilharco, G.[Gabriel], Lundberg, S.[Scott], Ribeiro, M.T.[Marco Tulio],
Adaptive Testing of Computer Vision Models,
ICCV23(3980-3991)
IEEE DOI 2401
BibRef

Jain, A.[Achin], Swaminathan, G.[Gurumurthy], Favaro, P.[Paolo], Yang, H.[Hao], Ravichandran, A.[Avinash], Harutyunyan, H.[Hrayr], Achille, A.[Alessandro], Dabeer, O.[Onkar], Schiele, B.[Bernt], Swaminathan, A.[Ashwin], Soatto, S.[Stefano],
A Meta-Learning Approach to Predicting Performance and Data Requirements,
CVPR23(3623-3632)
IEEE DOI 2309
BibRef

Tu, W.J.[Wei-Jie], Deng, W.J.[Wei-Jian], Gedeon, T.[Tom], Zheng, L.[Liang],
A Bag-of-Prototypes Representation for Dataset-Level Applications,
CVPR23(2881-2892)
IEEE DOI 2309
BibRef

Mao, C.Z.[Cheng-Zhi], Teotia, R.[Revant], Sundar, A.[Amrutha], Menon, S.[Sachit], Yang, J.F.[Jun-Feng], Wang, X.[Xin], Vondrick, C.[Carl],
Doubly Right Object Recognition: A Why Prompt for Visual Rationales,
CVPR23(2722-2732)
IEEE DOI 2309
the metric requires the model to simultaneously produce both the right labels as well as the right rationales BibRef

Arriaga, O.[Octavio], Palacio, S.[Sebastian], Valdenegro-Toro, M.[Matias],
Difficulty Estimation with Action Scores for Computer Vision Tasks,
LXCV23(245-253)
IEEE DOI 2309
BibRef

Chapter on Books, Collections, Overviews, General, and Surveys continues in
Geometry of Visual Space .


Last update:Jun 5, 2024 at 10:22:22