Comments (1)
wjf5203
commented on May 27, 2024
Yes, we have observed that continuing to finetune GLEE-Lite-Joint on COCO does not improve performance. We believe this highlights the advantage of GLEE—enhancing the model's detection abilities by training with a larger amount of data. However, the performance of GLEE-Pro on COCO has not yet met expectations, and we are currently exploring the reasons for this.
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Related Issues (20)
- Would it be possible to open up the source code of the inference script instead of the gradio script? HOT 8
- The training code HOT 7
- 关于训练中数据采样的问题？ HOT 1
- 跨图检测 HOT 1
- DETRs with Hybrid Matching HOT 1
- Detail about object detection decoder.
- Open Source the test code and weight files about TAO dataset
- 缺少这么多文件怎么破？OSError: Error no file named pytorch_model.bin, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory projects/GLEE/clip_vit_base_patch32. HOT 1
- Tutorial for Zero-shot Testing or Fine-tuning GLEE on New Datasets HOT 1
- No module named 'projects.GLEE' HOT 2
- Failure cases
- How to run the demo locally and correctly? HOT 4
- What is the size of the model's parameter count?
- 是否能像SAM或CLIP那样直接调用
- Hugging Face demo not runnig HOT 2
- too many values to unpack (expected 2)
- speed
- RVOS inference code HOT 1
- 关于coco指标复现的问题 HOT 2
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