Image machine vision task performance of classification, detection and segmentation task. The symbol “—” means the bitrate information is not given in paper or the task performance is not related to bitrate.
| Author | bitrate | Classifacation Acc. | Detection mAP | Segmentation mAP | Seg IoU |
|---|---|---|---|---|---|
| Tu et al. [177] | 0.002 | 0.32 (CUB-200-2011) | |||
| Chen et al. [27] | — | 0.728 (Cityscapes) | |||
| Cao et al. [24] | 0.2 | 0.54 (COCO2014) | |||
| Liu et al. [120] | 0.125 | 0.48 (PASCAL VOC 07) | 0.70 (Cityscapes) | ||
| Chen et al. [30] | — | 0.428 (COCO2017) | |||
| Akbari et al. [5] | — | ||||
| Hoang et al. [72] | — | ||||
| Wang et al. [190] | 0.5 | 0.31 (ImageNet) | |||
| Lei et al. [104] | 0.2 | 0.8 (ImageNet) | |||
| Sun et al. [165] | 0.75 (COCO2014) | ||||
| Feng et al. [56] | 0.45 | 0.362 (COCO 2017) | |||
| Liu et al. [121] | 0.15 | 0.38 (CUB200-2011) | |||
| Yan et al. [202] | — | 0.3085 (CUB) | |||
| Wu et al. [136] | 0.1 | 0.745 (COCO) | |||
| Liu et al. [122] | 0.4 | 0.71 (ILSVRC2012) | 0.73 (VOC2012) | 0.365 (COCO) | |
| Choi and Bajić et al. [37] | 0.24 | 0.55 (COCO 2014) | |||
| Zhang et al. [213] | 0.175 | 0.8841 (CelebAMask-HQ) | 0.58 (CelebAMask-HQ) | ||
| Fang et al. [55] | 0.035 | 0.512 (SUIM) | 0.545 (SUIM) | ||
| Lei et al. [105] | 0.2 | 0.83 (ImageNet) | |||
| Choi and Bajić et al. [38] | 0.15 | 0.33 (COCO 2014) | 0.362 (COCO 2014) | ||
| Wu et al. [135] | 0.2 | 0.74 (VOC2007) | |||
| Bai et al. [14] | 0.2 | 0.73 (ImageNet) | |||
| Liu et al. [123] | 0.18 | 0.77 (Caltec) | |||
| Chen et al. [26] | 0.2 | 0.75 (ImageNet) | 0.33 (COCO2017) | 0.361 (COCO2017) | |
| Torfason et al. [176] | 0.038 | 0.5582 (ILSVRC2012) | 0.5578 (ILSVRC2012) | ||
| Mao et al. [132] | 0.0281 | 0.5538 (CelebAHQ) | |||
| Wang et al. [186] | 0.4 | 0.48 (COCO2017) | |||
| Guo et al. [62] | 0.153 | 0.376 (COCO 2017) | 0.335 (COCO 2017) | ||
| Gao et al. [53] | 0.2 | 0.48 (COCO 2014) |
| Author | bitrate | Classifacation Acc. | Detection mAP | Segmentation mAP | Seg IoU |
|---|---|---|---|---|---|
| Tu | 0.002 | 0.32 (CUB-200-2011) | |||
| Chen | — | 0.728 (Cityscapes) | |||
| Cao | 0.2 | 0.54 (COCO2014) | |||
| Liu | 0.125 | 0.48 (PASCAL VOC 07) | 0.70 (Cityscapes) | ||
| Chen | — | 0.428 (COCO2017) | |||
| Akbari | — | ||||
| Hoang | — | ||||
| Wang | 0.5 | 0.31 (ImageNet) | |||
| Lei | 0.2 | 0.8 (ImageNet) | |||
| Sun | 0.75 (COCO2014) | ||||
| Feng | 0.45 | 0.362 (COCO 2017) | |||
| Liu | 0.15 | 0.38 (CUB200-2011) | |||
| Yan | — | 0.3085 (CUB) | |||
| Wu | 0.1 | 0.745 (COCO) | |||
| Liu | 0.4 | 0.71 (ILSVRC2012) | 0.73 (VOC2012) | 0.365 (COCO) | |
| Choi and Bajić | 0.24 | 0.55 (COCO 2014) | |||
| Zhang | 0.175 | 0.8841 (CelebAMask-HQ) | 0.58 (CelebAMask-HQ) | ||
| Fang | 0.035 | 0.512 (SUIM) | 0.545 (SUIM) | ||
| Lei | 0.2 | 0.83 (ImageNet) | |||
| Choi and Bajić | 0.15 | 0.33 (COCO 2014) | 0.362 (COCO 2014) | ||
| Wu | 0.2 | 0.74 (VOC2007) | |||
| Bai | 0.2 | 0.73 (ImageNet) | |||
| Liu | 0.18 | 0.77 (Caltec) | |||
| Chen | 0.2 | 0.75 (ImageNet) | 0.33 (COCO2017) | 0.361 (COCO2017) | |
| Torfason | 0.038 | 0.5582 (ILSVRC2012) | 0.5578 (ILSVRC2012) | ||
| Mao | 0.0281 | 0.5538 (CelebAHQ) | |||
| Wang | 0.4 | 0.48 (COCO2017) | |||
| Guo | 0.153 | 0.376 (COCO 2017) | 0.335 (COCO 2017) | ||
| Gao | 0.2 | 0.48 (COCO 2014) |
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