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07/03 00:00:54.724]: Epoch: [12/40][1000/2052] L_an nan ( nan) L_plc nan ( nan) LR 9.522e-05 Loss nan ( nan) Mem 15346
[07/03 00:01:24.369]: Epoch: [12/40][1100/2052] L_an nan ( nan…
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We are honored to evaluate the [Qwen-VL](https://github.com/QwenLM/Qwen-VL) series on your good work Seed-Bench.
Qwen-VL and Qwen-VL-Chat achieved the SOTAs on the Seed-Bench Leaderboard until now…
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Thanks for the share of the CL study frame! However I wonder how to use iCarl with the framework. I have modified the main_tinyimagenet.sh file via adding static_hyperparams term to the arguments, bu…
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A ideia é explorar as características do dataset em busca de encontrar viéses (e.g., diferença nos gêneros) que atrapalham a verificação de parentesco. O [deepface](https://github.com/serengil/deepfac…
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Dear Sir, Hope you are doing well
I wonder, how do you deal with converting BN layer in your code, most of SOTAs absorb the BN parameters to weight and bias of Conv layers, but I cannot see this on y…
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Hi, how nice work you have done!
Your model is designed for segmenting multi-object in the scene and achieve nice performance compared with SOTAs. But if I have the only object, what problem should…
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Could you please tell me how you did the experiments of baseline? Could you release the code of baseline? I notice that your baseline method achieves 77.2% on veri according to Table 6 in your paper w…
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Hi, have you ever tried any evaluations on image classification tasks? How about the results?
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Since the model is trained on the dense matching loss, it would be natural to evaluate its performance on keypoint matching task and compare with sotas. May I know if you have conducted experiments or…
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Acredito que há o que aprender com esse trabalho. Essa noção de hierarquia lembra as subnets do #43. A noção de componentes faciais provavelmente inspirou o #51. E se tivéssemos subnets para cada comp…