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@@ -153,21 +153,21 @@ python train.py --cuda -d coco --root path/to/COCO -m yolov1 -bs 16 --max_epoch
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* YOLOX2 (Incremental Improved YOLOX):
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-| Model | Backbone | Scale | Epoch | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |
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-|----------|-------------|-------|-------|------------------------|-------------------|-------------------|--------------------|--------|
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-| YOLOX2-N | ELANNet-N | 640 | 300 | | | | | |
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-| YOLOX2-S | ELANNet-S | 640 | 300 | | | | | |
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-| YOLOX2-M | ELANNet-M | 640 | 300 | | | | | |
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-| YOLOX2-L | ELANNet-L | 640 | 300 | | | | | |
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+| Model | Scale | Epoch | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |
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+|----------|-------|-------|------------------------|-------------------|-------------------|--------------------|--------|
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+| YOLOX2-N | 640 | 300 | | | | | |
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+| YOLOX2-S | 640 | 300 | | | | | |
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+| YOLOX2-M | 640 | 300 | | | | | |
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+| YOLOX2-L | 640 | 300 | | | | | |
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* ETE-YOLO (End-to-End YOLO without NMS):
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-| Model | Backbone | Scale | Epoch | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |
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-|------------|-------------|-------|-------|------------------------|-------------------|-------------------|--------------------|--------|
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-| ETE-YOLO-N | ELANNet-N | 640 | 300 | | | | | |
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-| ETE-YOLO-S | ELANNet-S | 640 | 300 | | | | | |
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-| ETE-YOLO-M | ELANNet-M | 640 | 300 | | | | | |
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-| ETE-YOLO-L | ELANNet-L | 640 | 300 | | | | | |
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+| Model | Scale | Epoch | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |
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+|------------|-------|-------|------------------------|-------------------|-------------------|--------------------|--------|
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+| ETE-YOLO-N | 640 | 300 | | | | | |
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+| ETE-YOLO-S | 640 | 300 | | | | | |
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+| ETE-YOLO-M | 640 | 300 | | | | | |
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+| ETE-YOLO-L | 640 | 300 | | | | | |
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* Redesigned RT-DETR:
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