Comments (1)
sacmehta
commented on July 3, 2024
MNasNet is a more on an architectural space search rather than light-weight model design and is complementary to our work.
MNasNet uses mobileNet blocks and we have shown that EESP modules are better in learning representations than MobileNet modules. If a similar search is done using EESP module, I believe that will give better performance.
P.S: Searching over 8K design choices, MNAsNet delivers slightly better performance to our work (73 top-1 with 3.6 M params and 270 M FLOps) while our unit delivers 72.1 under similar budget.
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Related Issues (20)
- About cyclic learning rate HOT 1
- Downsampling HOT 1
- Training issues (from pretrained weights) HOT 1
- a strange question
- a strange question
- A strange problem encountered during training
- A strange problem encountered during training HOT 15
- About Power consumption HOT 9
- Turning ESPNet into c++ cudastream problem HOT 2
- train.txt create HOT 2
- compared with ShuffleNet V2 HOT 3
- train/eval for another dataset HOT 1
- Question about predict on espnetv2 HOT 3
- Espnet .pth with another scale factor HOT 1
- You have following values as class labels: [ 0 1 2 4 5 6 7 8 10 11 13 255] Some problem with labels. Please check image file: ./city/gtFine/train/cologne/cologne_000000_000019_gtFine_labelTrainIds.png Exiting!! HOT 2
- Network parameters of segmentation model in the paper HOT 5
- Have you used ImageNet pretrained weight to train epsnetv2 for segmentation? HOT 1
- Can anyone upload a pretrained model? HOT 1
- The tool to calculate FLOPs
- Can this model be used for regression tasks?
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