Related Issues (20)
- What values of metrics can be interpreted as successful during training Similarity Models HOT 2
- [Typo] Lables instead of labels HOT 1
- self-supervised segmentation and detection
- VicReg implementation gives "nan" loss HOT 3
- Problem using the "brute_force" search method HOT 3
- README.md typo
- Out of memory error: Multi-GPUs not used when training semi-supervised model
- Error with multishotfilesampler HOT 4
- Race condition during EvalCallback HOT 1
- Add Colab example demonstrating multiple metrics in Callback.
- Replace all examples using MemorySamplers with the TFData_Samplers HOT 1
- Replace all examples using NMSLIB with KNNSearch HOT 1
- Add ConvNeXtSmall to architectures HOT 1
- Add warning / update to TF addon to help people transition
- Custom Architecture for Backbone model
- Update readme with v0.18 info
- TripletLoss will produce only NaN when using mixed bfloat16 precision
- tfa.losses.TripletSemiHardLoss() replacement? HOT 2
- Calculation of mean Averge Precision (mAP)
- Tensorflow > 2.11 ? HOT 3
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