Why I can't reproduce your results about | ResNet34-VTN| RGB | UCF101 | 90.27%|
See original GitHub issueI have two 2080Ti GPUs. I run the commad python main.py --dataset ucf101_1 --model resnet34_vtn -b16 --lr 1e-5 --seq 16 --st 2
But the highest Video@1 is only 85% instead of 90.27% as you reported.
So I wonder what might be wrong with my training. Or I overlooked some of the training details you used?
Thanks for your wonderful project and it help me a lot whether I am at Intel or school.
Looking forward to your guidance!
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (2 by maintainers)
Top Results From Across the Web
Why I can't reproduce your results about | ResNet34-VTN| RGB
I have two 2080Ti GPUs. I run the commad python main.py --dataset ucf101_1 --model resnet34_vtn -b16 --lr 1e-5 --seq 16 --st 2
Read more >UCF101 Benchmark (Action Recognition) - Papers With Code
Rank Model 3‑fold Accuracy Year
1 SMART 98.64 2020
2 OmniSource (SlowOnly‑8x8‑R101‑RGB + I3D‑Flow) 98.6 2020
3 PERF‑Net (multi‑distilled S3D) 98.6 2020
Read more >Extreme Low-Resolution Activity Recognition with Confident ...
Experimental results demonstrate that, the proposed method can effectively improve the accuracy of eLR activity recognition and.
Read more >Can Spatiotemporal 3D CNNs Retrace the History of 2D ...
The purpose of this study is to determine whether current video datasets have sufficient data for training very deep convolutional neural networks (CNNs) ......
Read more >Validation loss and accuracy for a Resnet-34 on UCF-101 ...
Bayesian Bits employs a novel decomposition of the quantization operation, which sequentially considers doubling the bit width. At each new bit width, the...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Hi! In order to reproduce the 90%+ result on UCF you need to start with model pretrained on Kinetics.
@JinYAnGHe Do you succeed to reproduce the result? I fail it too I suspect they use some tricks to train the model since when I use their model to test, I got the result they reported @vadimadr Can you help us here?